Open Source Python Earth Sciences Software
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Python Earth Sciences Software
View 165 business solutionsBrowse free open source Python Earth Sciences Software and projects below. Use the toggles on the left to filter open source Python Earth Sciences Software by OS, license, language, programming language, and project status.
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Madagascar is a software package for geophysical data processing and reproducible numerical experiments. The package mission is to provide a convenient environment for researchers working with digital image and data processing in geophysics and related fields.
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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DeepChem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc
DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. The DeepChem project maintains an extensive collection of tutorials. All tutorials are designed to be run on Google collab (or locally if you prefer). Tutorials are arranged in a suggested learning sequence that will take you from beginner to proficient at molecular machine learning and computational biology more broadly. -
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ALAMODE
Ab initio simulator for thermal transport and lattice anharmonicity
ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation : http://alamode.readthedocs.io/en/latest/ git repository : https://github.com/ttadano/alamode -
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Astropy
Repository for the Astropy core package
The Astropy Project is a community effort to develop a common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages. Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. The Anaconda Python Distribution includes Astropy and is the recommended way to install both Python and the Astropy package. The astropy package contains key functionality and common tools needed for performing astronomy and astrophysics with Python. It is at the core of the Astropy Project, which aims to enable the community to develop a robust ecosystem of affiliated packages covering a broad range of needs for astronomical research, data processing, and data analysis. -
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CAIRO for AERMOD
AERMOD, visualisation, input, modelling and compiling tool
CAIRO for AERMOD v1.1 by MSc Dominik Subotić Simplified training software Avaliable: www.sourceforge.net/projects/cairo-for-aermod/ QGIS plugin: CAIROforAERMOD (Coming 2025.) Tutorial: https://www.youtube.com/watch?v=DZnsJuu1zLc AERMAP, AERMOD and AERPLOT analysis tool and input file compiler. Features: Automatic input by copying coordinates (Google Maps or text) and automatic conversion to UTM. Sources are automatically visualised in Google Earth. Input is done through user interface and automatically compiled into correct syntax and project/file structure. Windows application, supports up to 3 averaging periods, maxtable, maxifile, rankfile and plotfile. Elevation and meteorological data is third party. CAIRO for AERMOD (Compile AERMAP, AERMOD and AERPLOT Input and Run Output) aimed at streamlining the process of making complex input file, with unique syntax and running them. While obviating the need to manually write inputs and running the program through Shell -
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. See Dockerfile.wheels for additional components. -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download -
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WARNING! HPGL source code (NOT the releases, they are still here) now moved to the GitHub at https://github.com/hpgl/hpgl. Please, update your bookmarks!
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openGPR is a framework for the management, processing and 2D/3D-visualization of ground penetrating radar (GPR, georadar) data. It interoperates with existing tools like Seismic Unix, with a special focus on georadar applications.
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Graphical Forecast Editor
View and edit grids of meteorological values
Allows viewing and editing of weather data from weather models as two dimensional grids. Python scripting support hooks in the ingest, editing and product creation subsystems allow for customization. All network communication made through HTTP services. Enhanced version of the system used by national weather services. -
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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A python-based system to diagnosis and make weather maps (wxmap) of numerical weather prediction models using the Grid Analysis and Display System (GrADS) from opengrads.org
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Airborne Data Processing and Analysis
Software to processing and analyze of airborne measurements.
The Airborne Data Processing and Analysis (ADPAA) package is an open-source software package containing a collection of programs and scripts to process and analyze data from in-situ instruments deployed on airborne platforms. The ADPAA package was started to process data on the North Dakota Citation Research Aircraft but has been used to process data on many airborne platforms. The software methodology used in ADPAA is provided in the peer-review publication: Delene, D. J., Airborne Data Processing and Analysis Software Package, Earth Science Informatics, 4(1), 29-44, 2011, URL: http://dx.doi.org/10.1007/s12145-010-0061-4, DOI: 10.1007/s12145-010-0061-4. -
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ccplot
CloudSat and CALIPSO plotting tool
ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products. -
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Forecast Production Assistant
Met object database and interactive graphical editor
Meteorologists use the FPA to create a series of weather charts, known as depictions, that show weather fields over a sequence of times. The weather fields can contain grid point data or sets of areas, lines or scattered points. The weather depictions are not just graphical displays, but windows into an object database. By connecting processes to the database, forecast offices can automatically generate forecast products or run local models, while spending more of their time on weather analysis, diagnosis and prognosis. -
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UV-CDAT
Ultrascale Visualization Climate Data Analysis Tools
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems. -
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jif3d
3D Joint Inversion Framework
This repository is now outdated. The current version of jif3D is available from https://git.tu-berlin.de/applied-geophysics/jif3d -
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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Bika Open Source LIMS
Web based Open Source laboratory information management system (LIMS)
Modern Open Source LIMS (Laboratory Information Management System) · Professionally supported by experts The Bika code was migrated to https://github.com/bikalims Getting Started: https://github.com/bikalims/bika.lims/blob/main/README.md Modern Bika releases are built on the Senaite LIMS core, the LIMS that originated as a Bika fork. It is therefore as new and modern as Senaite, frequently upgraded and has many very useful add-ons. Bika expands on Senaite's lean design by adding modules for bulk sample importing, two tier Sample Point Locations, instrument result importers extra COA templates etc. while remaining within ISO 17025 guidelines Other differentiation is per lab discipline, e.g. branches for environmental management, health care, geochemistry snd cannabis. User Manual: www.bikalims.org/new-manual Videos: www.bikalims.org/resources/bika-lims-videos Screenshots: www.bikalims.org/resources/screenshots Supported by Bika Lab Systems, www.bikalabs.com -
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Bitmap Gauger is a multipurpose tool for determining coordinates, distances, areas, radii and angles in bitmaps. User defined scaling and coordinate transformations are provided.
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This is a repository for software that is needed to communicate with the data loggers of CORK borehole observatories (mlterm) and to convert and post-process the data. Have a look at http://www.corkobservatories.org/ for an introduction to CORKs.
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DSS student toolbox is an interface created over the Direct Sequential Simulation algorithm created by A. Soares, 2001. It allows you to launch this simulation method using simple tools from a GUI. NOTE: this software development is deprecated. You can perform the same operations in our newest software GEOMS2 (beta release). You can download it here: https://sourceforge.net/projects/geoms2/
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ECMWF parser is a software made in python (it has a version standalone and another python dependant) to work on the data provided by ECMWF. It uses WGRIB to convert binary data to ascii and operates over the last with several functions available.
